Title: Artificial intelligence makes computers lazy

Authors: Simon Kent, Nayna Patel

Addresses: Brunel University, Uxbridge, Middlesex UB8 3PH, UK. ' Brunel University, Uxbridge, Middlesex UB8 3PH, UK

Abstract: This paper looks at the age-old problem of trying to instil some degree of intelligence in computers. Genetic Algorithms (GA) and Genetic Programming (GP) are techniques that are used to evolve a solution to a problem using processes that mimic natural evolution. This paper reflects on the experience gained while conducting research applying GA and GP to two quite different problems: Medical Diagnosis and Robot Path Planning. An observation is made that when these algorithms are not applied correctly the computer seemingly exhibits lazy behaviour, arriving at a suboptimal solutions. Using examples, this paper shows how this |lazy| behaviour can be overcome.

Keywords: genetic programming; genetic algorithms; artificial intelligence; classification; medical diagnosis; path planning.

DOI: 10.1504/IJISE.2006.010390

International Journal of Industrial and Systems Engineering, 2006 Vol.1 No.4, pp.519 - 532

Published online: 18 Jul 2006 *

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